A Nonstationary Soft Partitioned Gaussian Process Model via Random Spanning Trees
Author:
Affiliation:
1. Department of Statistics, Texas A&M University, College Station, TX
Funder
NSF
National Cancer Institute of the National Institutes of Health
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2249642
Reference44 articles.
1. Adler, R. J., and Taylor, J. E. (2007), Random Fields and Geometry (Vol. 80), New York: Springer.
2. Banerjee, S., Carlin, B. P., and Gelfand, A. E. (2014), Hierarchical Modeling and Analysis for Spatial Data, Boca Raton, FL: CRC Press.
3. Spatial Modeling of House Prices Using Normalized Distance-Weighted Sums of Stationary Processes
4. Anisotropic function estimation using multi-bandwidth Gaussian processes
5. Latent Gaussian random field mixture models
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